Dynamic monitoring method and system based on distributed equipment power data

Abstract

The invention relates to the technical field of electromagnetic environment monitoring, in particular to a dynamic monitoring method and system based on distributed equipment power data, and the method comprises the steps: determining the electromagnetic radiation local area of each piece of equipment through determining the load influence period of each piece of equipment in an environment and the distribution position information of each piece of equipment in advance; determining the radiation state by determining the signal radiation synchronization coefficient of the electromagnetic radiation local area so as to determine the screening mode of the monitoring objects, and selecting the monitoring mode of the environmental electromagnetic intensity according to the number difference of the monitoring objects in each electromagnetic radiation local area; according to the dynamic monitoring system, through the arrangement of the information extraction unit, the distinguishing unit, the electromagnetic monitoring unit and the prompting unit, the combination of equipment space distribution, load period time sequence analysis and multi-band signal intensity is realized; and the monitoring fineness of the environmental electromagnetic intensity is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of electromagnetic environment monitoring, and in particular to a dynamic monitoring method and system based on distributed equipment power data. Background Art

[0002] In today's digital age, when transmitting high-frequency financial transaction data, data packet loss and delay caused by electromagnetic interference may cause financial institutions to miss the best trading opportunities and cause potential economic losses. Electromagnetic interference between distributed devices in the data processing of high-frequency financial transaction data is difficult to avoid. These electromagnetic interferences greatly affect the transmission efficiency and stability of high-frequency financial transaction data.

[0003] When conducting electromagnetic monitoring on distributed equipment in a data center, it is difficult to dynamically capture the superposition effect of electromagnetic radiation caused by changes in the operating status of a group of equipment. When multiple devices start high-load mode at the same time in a similar period of time, their electromagnetic radiation may resonate or offset each other. Traditional monitoring methods cannot accurately identify such potential risks due to the lack of analysis of the correlation between equipment operation timing. This may cause the data center to fail to issue early warnings and take effective measures when facing sudden high-load electromagnetic interference, resulting in failures in the financial data processing system, which in turn triggers a series of financial risks. In summary, adapting to the dynamic changes of distributed equipment and conducting effective monitoring of the electromagnetic environment in a targeted manner has become the key to improving the operating efficiency of data centers, ensuring accurate and timely processing of financial data, and thus reducing corporate financial risks and improving economic benefits.

[0004] For example, the Chinese patent application publication number: CN113311251A, the invention discloses an electromagnetic radiation monitoring method and an electromagnetic radiation monitoring system, the electromagnetic radiation monitoring method includes: obtaining electromagnetic field signals at multiple frequency points in the environment; extracting the electromagnetic field signal of the first frequency point in the desired frequency range from the multiple frequency points, and calculating the comprehensive radiation field strength value of the desired frequency range; sending the electromagnetic field signals of the multiple frequency points at a first time interval, and sending the comprehensive radiation field strength value of the desired frequency range at a second time interval. The electromagnetic radiation monitoring method and electromagnetic radiation monitoring system of the application can realize real-time monitoring of the electromagnetic environment.

[0005] The prior art still has the following problems: Existing technologies cannot combine the spatial distribution of equipment, load cycle timing analysis and multi-band signal strength in the process of processing high-frequency financial transaction data. They cannot perform refined monitoring of environmental electromagnetic intensity through local division of electromagnetic radiation, synchronous signal analysis and differentiated screening of monitoring objects. Summary of the invention

[0006] To this end, the present invention provides a dynamic monitoring method and system based on distributed equipment power data, which is used to overcome the problems that the prior art cannot combine the spatial distribution of equipment, load cycle timing analysis and multi-band signal strength, and cannot perform local electromagnetic radiation division, signal synchronization analysis and differentiated screening of monitoring objects.

[0007] To achieve the above object, the present invention provides a dynamic monitoring method based on distributed equipment power data, comprising: Predetermine the load impact cycle of each device in the environment during the historical operating period and the distribution location information of each device; Determine the electromagnetic radiation local area of ​​each device based on the distribution location information, and determine the signal radiation synchronization coefficient of the electromagnetic radiation local area according to the load influence period of several devices in the electromagnetic radiation local area to determine the radiation state of the electromagnetic radiation local area; Determine a screening method for monitoring objects in the electromagnetic radiation local area based on the radiation state, wherein the screening method is to screen a unique key monitoring object or screen several collaborative monitoring objects according to the comparison of electromagnetic signal strength of each device in several frequency bands; A monitoring method for environmental electromagnetic intensity is selected based on the difference in the number of monitored objects in each electromagnetic radiation local area, wherein the monitoring method is to affect the heterogeneous period according to the load influence period mark of the key monitored object in each electromagnetic radiation local area, or to affect the heterogeneous period according to the load influence period mark of the key monitored object and the collaborative monitored object in each electromagnetic radiation local area; Several marked cycles affecting the opposite sex will be alarmed.

[0008] Furthermore, determining the load impact period of each device in the environment includes: Obtain the load parameters corresponding to the start time and the end time of each device in the environment at a preset unit time period; Calculate the absolute value of the load difference between the load parameter corresponding to the start time and the load parameter corresponding to the end time; The unit time period during which the absolute value of the load difference exceeds a preset load threshold is determined as the load impact period of the equipment.

[0009] Furthermore, the electromagnetic radiation local area of ​​each device is determined to include: Obtain the distribution location information of each device; Determine the distance between each device and other devices, and determine the area formed by several devices whose distances meet the local construction condition as the electromagnetic radiation local area; The local construction condition is that the distance does not exceed a preset distance threshold.

[0010] Further, the process of determining the signal radiation synchronization coefficient of the electromagnetic radiation localization includes: Obtain the start times corresponding to several load influence periods of each device within the electromagnetic radiation localization; Sort the start times of several load influence periods of each device in chronological order and construct an electromagnetic influence time sequence set; Determine the number of identical times in the electromagnetic influence time sequence set of the current device and the electromagnetic influence time sequence sets of other devices, calculate the average value of the ratio of several said numbers of times to the total number of times in the electromagnetic influence time sequence set of the current device, and determine the average value as the signal radiation synchronization coefficient.

[0011] Further, determining the radiation state of the electromagnetic radiation localization includes: According to the comparison result that the signal radiation synchronization coefficient meets the synchronous radiation condition, determine that the radiation state of the electromagnetic radiation localization is a synchronous radiation tendency state; According to the comparison result that the signal radiation synchronization coefficient does not meet the synchronous radiation condition, determine that the radiation state of the electromagnetic radiation localization is a non-synchronous radiation tendency state; Wherein, the synchronous radiation condition is that the signal radiation synchronization coefficient exceeds a preset synchronous coefficient reference value.

[0012] Further, the process of determining the screening method for the monitoring object includes: If the radiation state of the electromagnetic radiation localization is a synchronous radiation tendency state, then screen a unique key monitoring object according to the comparison of the electromagnetic signal intensities of each device in several frequency bands; If the radiation state of the electromagnetic radiation localization is a non-synchronous radiation tendency state, then screen several cooperative monitoring objects according to the comparison of the electromagnetic signal intensities of each device in several frequency bands.

[0013] Further, the process of screening a unique key monitoring object and screening several cooperative monitoring objects includes: Obtain the electromagnetic signal intensities corresponding to several frequency values of each device in each frequency band, and determine the electromagnetic signal intensity of the frequency band as the average value of the electromagnetic signal intensities corresponding to the frequency values; Calculate the average value of the electromagnetic signal intensities of several frequency bands of each device, and screen the device with the largest average value of the electromagnetic signal intensities as the unique key monitoring object; Determine the device corresponding to the maximum electromagnetic signal intensity in the same frequency band, and screen the devices corresponding to the maximum electromagnetic signal intensities in each frequency band as cooperative monitoring objects.

[0014] Further, the process of selecting the monitoring method for the ambient electromagnetic intensity includes: Determine the number of monitoring objects within each electromagnetic radiation localization area, and calculate the standard deviation of the number of monitoring objects; According to the comparison result that the standard deviation of the quantity conforms to the synchronization determination condition, determine the marking method for marking the influence of the opposite-sex cycle based on the load influence cycle of the key monitoring objects within each electromagnetic radiation localization area; According to the comparison result that the standard deviation of the quantity does not conform to the synchronization determination condition, determine the marking method for marking the influence of the opposite-sex cycle based on the load influence cycles of the key monitoring objects and the collaborative monitoring objects within each electromagnetic radiation localization area; Wherein, the synchronization determination condition is that the standard deviation of the quantity does not exceed a preset standard deviation threshold of the quantity.

[0015] Furthermore, the process of marking the influence of the opposite-sex cycle includes: Pre-obtain the load influence cycles of the key monitoring objects in a number of electromagnetic radiation localization areas, and the load influence cycles of the collaborative monitoring objects in a number of electromagnetic radiation localization areas; In the method of marking the influence of the opposite-sex cycle based on the load influence cycle of the key monitoring object, screen the load influence cycle with the largest number of coincidences among the several load influence cycles of the key monitoring object and mark it as the influence of the opposite-sex cycle; In the method of marking the influence of the opposite-sex cycle based on the load influence cycles of the key monitoring object and the collaborative monitoring object, screen the load influence cycle with the number of coincidences exceeding a preset quantity comparison reference value among the several load influence cycles of the key monitoring object and the collaborative monitoring object and mark it as the influence of the opposite-sex cycle.

[0016] Furthermore, the present invention also provides a dynamic monitoring system based on distributed device power data, including: An information extraction unit for determining the load influence cycle and the distribution position information of each device; A distinguishing unit connected to the information extraction unit for determining the electromagnetic radiation localization area of each device and determining the signal radiation synchronization coefficient of the electromagnetic radiation localization area, and judging the radiation state of the electromagnetic radiation localization area according to the signal radiation synchronization coefficient; An electromagnetic monitoring unit respectively connected to the information extraction unit and the distinguishing unit for determining the screening method of monitoring objects within the electromagnetic radiation localization area based on the radiation state, and selecting the monitoring method of the environmental electromagnetic intensity according to the quantity difference of the monitoring objects within each electromagnetic radiation localization area; A prompting unit connected to the electromagnetic monitoring unit for giving an alarm prompt for several marked influence of the opposite-sex cycles.

[0017] Compared with the prior art, the beneficial effects of the present invention are as follows. The present invention determines the electromagnetic radiation local area of each device by pre-determining the load influence period of each device in the environment and the distribution position information of each device, determines the radiation state by determining the signal radiation synchronization coefficient of the electromagnetic radiation local area, and determines the screening method of the monitoring object within the electromagnetic radiation local area based on the radiation state, including screening a single key monitoring object or screening several cooperative monitoring objects, and selects the monitoring method of the environmental electromagnetic intensity according to the difference in the number of monitoring objects in each electromagnetic radiation local area; the dynamic monitoring system of the present invention realizes the combination of device spatial distribution, load cycle time series analysis and multi-band signal intensity by setting an information extraction unit, a discrimination unit, an electromagnetic monitoring unit and a prompt unit. Through electromagnetic radiation local area division, signal synchronization analysis and differential screening of monitoring objects, the monitoring fineness of the environmental electromagnetic intensity is improved.

[0018] Furthermore, by calculating the difference in load parameters within a preset unit time period and comparing it with a preset load threshold, the present invention can accurately identify the period with obvious load fluctuations of the device, avoiding considering all operating periods of the device and only focusing on the key periods that may have a significant impact on electromagnetic radiation, greatly improving the pertinence of monitoring.

[0019] Furthermore, by obtaining the device distribution position information and determining the electromagnetic radiation local area according to the spacing, the present invention can divide the devices that are relatively close to each other and have a large mutual influence on electromagnetic radiation into a whole area. In this way, the monitoring can focus on these interrelated devices, avoiding ineffective monitoring of scattered and unrelated devices, making the monitoring work more targeted. By determining the electromagnetic radiation local area, targeted monitoring and analysis can be carried out for each local area, effectively reducing unnecessary monitoring points, avoiding waste of resources, and improving monitoring efficiency.

[0020] Furthermore, by obtaining the start time of the device load influence period, constructing an electromagnetic influence time series set, and calculating the average value of the ratio to determine the signal radiation synchronization coefficient, the present invention can quantify the synchronization degree of load fluctuations between devices, and determine the radiation state of the electromagnetic radiation local area according to the comparison between the signal radiation synchronization coefficient and the preset synchronization coefficient reference value. For the local area with a synchronous radiation tendency state, the overall radiation characteristics and potential interference problems can be focused on; for the local area with a non-synchronous radiation tendency state, more comprehensive monitoring and treatment strategies can be adopted to improve the pertinence of monitoring and management.

[0021] Furthermore, according to different radiation states of electromagnetic radiation localization, the present invention adopts different monitoring object screening methods, avoiding indiscriminate monitoring of all devices, enabling centralized resources for key or representative devices for focused monitoring, improving monitoring efficiency. The selected key monitoring objects and collaborative monitoring objects can more accurately reflect the electromagnetic environment characteristics of the electromagnetic radiation localization. For the synchrotron radiation tendency state, the key monitoring object can represent the synchrotron radiation situation of the entire localization; for the non-synchrotron radiation tendency state, several collaborative monitoring objects reflect the complex electromagnetic radiation situation within the localization from different frequency bands. Through electromagnetic radiation localization division, signal synchronization analysis, and differential screening of monitoring objects, the monitoring fineness of environmental electromagnetic intensity is improved.

[0022] Furthermore, by calculating the standard deviation of the number of monitoring objects within each electromagnetic radiation localization, the present invention can determine a suitable monitoring method according to the actual situation of different localizations. When the standard deviation of the number does not exceed the threshold, it indicates that the number of monitoring objects in each localization is relatively balanced. At this time, selecting to mark the influence heterosexual cycle according to the load influence cycle of the key monitoring object can improve efficiency; when the standard deviation of the number exceeds the threshold, it means that the number of monitoring objects in each localization varies greatly. Considering comprehensively the load influence cycles of the key monitoring objects and collaborative monitoring objects to mark the influence heterosexual cycle can more comprehensively reflect the actual situation of each localization. Through electromagnetic radiation localization division, signal synchronization analysis, and differential screening of monitoring objects, the monitoring fineness of environmental electromagnetic intensity is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 is a step diagram of the dynamic monitoring method based on distributed device power data according to an embodiment of the present invention; Figure 2 is a step diagram of determining the load influence cycle according to an embodiment of the present invention; Figure 3 is a step diagram of determining the signal radiation synchronization coefficient of the electromagnetic radiation localization according to an embodiment of the present invention; Figure 4 is a flowchart of selecting the monitoring method of environmental electromagnetic intensity according to an embodiment of the present invention; Figure 5 is a system block diagram of the dynamic monitoring system based on distributed device power data according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0024] In order to make the objectives and advantages of the present invention clearer and more understandable, the present invention will be further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0025] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principle of the present invention and do not limit the protection scope of the present invention.

[0026] It should be noted that in the description of the present invention, the terms indicating the direction or positional relationship such as "upper", "lower", "inner", "outer", etc. are based on the direction or positional relationship shown in the drawings. This is only for convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation of the present invention.

[0027] In addition, it should also be noted that in the description of the present invention, unless otherwise clearly specified and defined, the terms "installation" and "connection" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

[0028] Please refer to Figure 1 As shown, it is a step diagram of the dynamic monitoring method based on the power data of distributed devices in an embodiment of the present invention. The dynamic monitoring method based on the power data of distributed devices of the present invention includes: Step S100, pre-determine the load influence period of each device in the environment during the historical operation period and the distribution position information of each device; Specifically, the historical operation period in the present invention can be the operation period of the device within 24 hours, and the obtained distribution position information of the device is the position coordinates of the device based on the earth coordinate system with any corner of the environment as the coordinate origin.

[0029] Step S200, determine the electromagnetic radiation local area of each device based on the distribution position information, and determine the signal radiation synchronization coefficient of the electromagnetic radiation local area according to the load influence periods of several devices in the electromagnetic radiation local area to determine the radiation state of the electromagnetic radiation local area; Step S300, determine the screening method of the monitoring object in the electromagnetic radiation local area based on the radiation state. The screening method is to screen a unique key monitoring object or several cooperative monitoring objects according to the comparison of the electromagnetic signal intensities of each device in several frequency bands; Specifically, the electromagnetic field signal in the present invention can be an analog signal or a digital signal. The electromagnetic signal strength can be the magnetic field strength generated by the device during operation. It can be measured by using a Hall effect sensor placed around the device. For example, the magnetic field strength emitted by the device can be obtained at several positions 20 cm around the device, and the average value of the magnetic field strength at several positions is used as the final magnetic field strength of the device.

[0030] It can be understood that electromagnetic signals have different frequency bands, such as a low-frequency band. In the present invention, the low-frequency band can be divided into several frequency bands according to a preset frequency interval. For the low-frequency band of 10Hz to 100kHz, the frequency span of each frequency band can be divided into 1kHz.

[0031] Step S400, selecting a monitoring method for environmental electromagnetic intensity according to the difference in the number of monitored objects in each electromagnetic radiation local area, wherein the monitoring method is to affect the heterogeneous period according to the load influence period mark of the key monitored object in each electromagnetic radiation local area, or to affect the heterogeneous period according to the load influence period mark of the key monitored object and the collaborative monitored object in each electromagnetic radiation local area; Step S500, an alarm is issued for a number of marked periods of influence on the anisotropy.

[0032] Specifically, distributed equipment in financial data processing centers, such as servers, switches, routers, etc., generate complex electromagnetic radiation during operation. The load conditions of these devices are closely related to financial trading activities. During peak trading periods, a large number of trading instructions pour in and the equipment load rises sharply. Based on the analysis of historical data, we can clearly determine the load impact cycle of the equipment in different trading scenarios, which provides a basis for determining the load impact cycle.

[0033] Specifically, in the present invention, the start time and the end time of the period affecting the opposite sex can be displayed on a display and a warning or a broadcast can be issued through a buzzer to complete the alarm prompt for the period affecting the opposite sex.

[0034] Specifically, the device in the present invention may be a server in a financial transaction data center.

[0035] Specifically, see Figure 2 As shown, it is a step diagram of determining the load impact period in an embodiment of the present invention. Determining the load impact period of each device in the environment includes: Step S101, obtaining the load parameters corresponding to the start time and the end time of each device in the environment; Exemplarily, the load parameter in the present invention may be the real-time power of the device, with the unit of watt. The preset unit time period can be artificially set according to the setting of the historical operation period. Preferably, when the historical operation period is set to 1 day, that is, 24 h, the unit time period can be set to 30 min.

[0036] Step S102, calculate the absolute value of the load difference between the load parameter corresponding to the start time and the load parameter corresponding to the end time; Step S103, determine the unit time period in which the absolute value of the load difference exceeds the preset load threshold as the load impact period of the device.

[0037] Specifically, the value of the preset load threshold can be determined in advance by the average value of the absolute values of the load differences of several unit time periods. Preferably, the load threshold can be 15 W.

[0038] Exemplarily, set the historical operation period to 1 day (24 hours). According to the preferred setting, the preset unit time period is set to 30 minutes. That is, within this day, starting from 0 o'clock, data is collected every 30 minutes as a unit time period. For each 30-minute unit time period, obtain the real-time power of the device at the start time and the end time. For example, in the unit time period from 0:00 to 0:30, the real-time power of the device at 0:00 is 300 watts, and the real-time power of the device at 0:30 is 320 watts. In the period from 0:30 to 1:00, the power at 0:30 is 320 watts, and the power at 1:00 is 315 watts, and so on. A total of 48 unit time periods of power data are collected throughout the day. Calculate the absolute value of the load difference between the real-time power at the start time and the end time of each unit time period. For the period from 0:00 to 0:30, the absolute value of the load difference is 320 - 300 = 20 watts. For the period from 0:30 to 1:00, the absolute value of the load difference is 315 - 320 = 5 watts. When the set load threshold is 15 watts, for the period from 0:00 to 0:30, the load difference of 20 watts exceeds the preset load threshold of 15 watts. Therefore, the 30-minute unit time period from 0:00 to 0:30 is determined as a load impact period of the server. By judging each of the 48 unit time periods throughout the day one by one, we can determine all the load impact periods of this server within this day.

[0039] Specifically, by calculating the difference of the load parameter within the preset unit time period and comparing it with the preset load threshold, the present invention can accurately identify the periods with obvious load fluctuations of the device, avoiding considering all the operation periods of the device, and only focusing on the key periods that may have a significant impact on electromagnetic radiation, greatly improving the pertinence of monitoring.

[0040] Specifically, determining the electromagnetic radiation locality of each device includes: Obtaining the distribution location information of each device; Determining the spacing between each device and other devices, and determining the area formed by several devices whose spacing meets the locality construction conditions as the electromagnetic radiation locality; Among them, the locality construction condition is that the spacing does not exceed a preset spacing threshold.

[0041] Specifically, the preset spacing threshold can be set according to the size parameters of the actual data center. Preferably, the spacing threshold can be the average value of the length value and the width value multiplied by a value factor, and the value factor can be set by those skilled in the art. The smaller the value factor, the smaller the constructed electromagnetic radiation locality, and the value factor can be set to 0.15.

[0042] It can be understood that from the perspective of electromagnetics, when the spacing between two devices is small, the electromagnetic fields generated by them will undergo near-field coupling. According to Maxwell's equations, a changing electric field will generate a magnetic field, and a changing magnetic field will generate an electric field. The closer the distance between the devices, the stronger this mutual induction effect. In a financial data processing center, devices such as servers and switches will generate complex alternating electromagnetic fields when working. The smaller the device spacing, the more significant the mutual influence of their electromagnetic fields. Grouping these devices in the same electromagnetic radiation locality is convenient for studying the electromagnetic interaction between them and conforms to the law of electromagnetic near-field coupling.

[0043] Specifically, by obtaining the device distribution location information and determining the electromagnetic radiation locality based on the spacing, the present invention can divide devices that are relatively close and have a large mutual influence on electromagnetic radiation into a whole area. In this way, during monitoring, attention can be focused on these interrelated devices, avoiding ineffective monitoring of scattered and non-obviously related devices, making the monitoring work more targeted. By determining the electromagnetic radiation locality, targeted monitoring and analysis can be carried out for each locality, which can effectively reduce unnecessary monitoring points, avoid waste of resources, and improve monitoring efficiency.

[0044] Specifically, please refer to Figure 3 As shown, it is a step diagram of the signal radiation synchronization coefficient for determining the electromagnetic radiation locality in an embodiment of the present invention. The process of determining the signal radiation synchronization coefficient of the electromagnetic radiation locality includes: Step S201, obtaining the start times corresponding to several load influence cycles of each device within the electromagnetic radiation locality; Step S202, sorting the start times of several load influence cycles of each device in chronological order and constructing an electromagnetic influence time sequence set; Step S203: Determine the number of moments at the same time in the electromagnetic influence time sequence set of the current device and the electromagnetic influence time sequence sets of other devices, calculate the average value of the ratios of several such numbers of moments to the total number of moments in the electromagnetic influence time sequence set of the current device, and determine the average value as the signal radiation synchronization coefficient.

[0045] Exemplarily, if there are device A, device B, and device C in an electromagnetic radiation area, and by the method of determining the load influence period before, we obtain the start moments corresponding to their respective several load influence periods; The start moments of the load influence period of device A are: 0:00, 2:00, 4:00, 6:00, 8:00, 10:00, 12:00, 14:00, 16:00, 18:00.

[0046] The start moments of the load influence period of device B are: 0:00, 2:00, 4:00, 6:00, 8:00, 10:00, 12:00, 14:00, 16:00, 18:00.

[0047] The start moments of the load influence period of device C are: 0:00, 2:00, 4:00, 6:00, 8:00, 10:00, 12:00, 14:00, 16:10, 18:10.

[0048] The electromagnetic influence time sequence set of device A is: [0:00, 2:00, 4:00, 6:00, 8:00, 10:00, 12:00, 14:00, 16:00, 18:00].

[0049] The electromagnetic influence time sequence set of device B is: [0:00, 2:00, 4:00, 6:00, 8:00, 10:00, 12:00, 14:00, 16:00, 18:00].

[0050] The electromagnetic influence time sequence set of device C is: [0:00, 2:00, 4:00, 6:00, 8:00, 10:00, 12:00, 14:00, 16:10, 18:10].

[0051] Calculate the ratio of device A to device B: The number of moments at the same time: All 10 moments are the same, and the ratio is 10÷10 = 1.

[0052] Then calculate the ratio of device A to device C: The number of moments at the same time: 0:00, 2:00, 4:00, 6:00, 8:00, 10:00, 12:00, 7 moments are the same, so the ratio of device A to device C is 7÷10 = 0.7.

[0053] Calculate the ratio of device B to device C: Number of moments at the same time: 0:00, 2:00, 4:00, 6:00, 8:00, 10:00, 12:00. There are 7 identical moments. So the ratio of device B to device C is 7÷10 = 0.7.

[0054] Finally, calculate the signal radiation synchronization coefficient: Signal radiation synchronization coefficient = (1 + 0.7 + 0.7)÷3 = 0.8.

[0055] Specifically, determining the radiation state of the electromagnetic radiation local area includes: According to the comparison result of the signal radiation synchronization coefficient meeting the synchronous radiation condition, determine that the radiation state of the electromagnetic radiation local area is the synchronous radiation tendency state; According to the comparison result of the signal radiation synchronization coefficient not meeting the synchronous radiation condition, determine that the radiation state of the electromagnetic radiation local area is the non - synchronous radiation tendency state; Among them, the synchronous radiation condition is that the signal radiation synchronization coefficient exceeds a preset synchronous coefficient reference value.

[0056] Specifically, the value of the preset synchronous coefficient reference value is determined according to calculating the average value of the signal radiation synchronization coefficients of devices in several electromagnetic radiation local areas. Preferably, the synchronous coefficient reference value can be set to 0.6.

[0057] Specifically, the present invention can quantify the synchronization degree of load fluctuations between devices by obtaining the start moment of the device load influence period, constructing an electromagnetic influence time - series set, and calculating the average value of the ratio, and determine the radiation state of the electromagnetic radiation local area based on the comparison between the signal radiation synchronization coefficient and the preset synchronous coefficient reference value. For the local area with the synchronous radiation tendency state, the overall radiation characteristics and potential interference problems can be focused on; for the local area with the non - synchronous radiation tendency state, more comprehensive monitoring and processing strategies can be adopted to improve the pertinence of monitoring and management.

[0058] It is understandable that the operation of the equipment has a certain regularity. Especially in similar working environments and business requirements, by analyzing the start time of the equipment load impact cycle, the synchronization degree of the equipment operation state can be reflected. When the start times of the load impact cycles of multiple devices are close or the same, it means that the changes in their working states are relatively consistent in time. If the such changes of multiple devices are synchronized, the electromagnetic fields generated by them are more likely to be superimposed on each other or produce a synergistic effect, thus presenting a synchrotron radiation tendency state. On the contrary, if the start times of the load impact cycles of each device vary greatly, the electromagnetic fields generated by them interact randomly and it is difficult to form obvious synchrotron radiation, showing a non-synchrotron radiation tendency state.

[0059] Specifically, the screening methods for determining the monitoring objects include: If the radiation state of the electromagnetic radiation local area is a synchrotron radiation tendency state, then the only key monitoring object is screened according to the comparison of the electromagnetic signal intensities of each device in several frequency bands; If the radiation state of the electromagnetic radiation local area is a non-synchrotron radiation tendency state, then several cooperative monitoring objects are screened according to the comparison of the electromagnetic signal intensities of each device in several frequency bands.

[0060] Specifically, the processes of screening the only key monitoring object and screening several cooperative monitoring objects include: Obtain the electromagnetic signal intensities corresponding to several frequency values of each device in each frequency band, and determine the electromagnetic signal intensity of the frequency band by taking the average value of the electromagnetic signal intensities corresponding to each frequency value; Calculate the average value of the electromagnetic signal intensities of each device in several frequency bands, and screen the device with the largest average value of the electromagnetic signal intensities as the only key monitoring object; Determine the device corresponding to the maximum value of the electromagnetic signal intensity in the same frequency band, and screen the devices corresponding to the maximum values of the electromagnetic signal intensities in each frequency band as cooperative monitoring objects.

[0061] It is understandable that in the synchrotron radiation tendency state, the electromagnetic radiations of multiple devices are synchronized to a certain extent and will produce effects such as superposition. According to the superposition principle of electromagnetism, the electromagnetic signal intensity will be relatively concentrated on some devices. The device with the largest average value of the electromagnetic signal intensities means that it contributes relatively the most energy to the overall synchrotron radiation and has the greatest impact on the state of the entire electromagnetic radiation local area. Therefore, taking it as the key monitoring object can most effectively reflect the state changes of the entire electromagnetic radiation local area.

[0062] It is understandable that under the state of asynchronous radiation tendency, different devices may have strong electromagnetic signal strength in different frequency bands. The device corresponding to the maximum electromagnetic signal strength in each frequency band has the strongest radiation performance in this frequency band. Due to the dispersion of asynchronous radiation, a single device cannot represent the state of the entire electromagnetic radiation area. By screening out the devices corresponding to the maximum electromagnetic signal strength in each frequency band as collaborative monitoring objects, the changes in the local electromagnetic radiation can be comprehensively captured from multiple frequency angles.

[0063] Specifically, the present invention adopts different monitoring object screening methods according to different radiation states of the local electromagnetic radiation area, thereby avoiding indiscriminate monitoring of all equipment, and can concentrate resources to focus on monitoring key equipment or representative equipment, thereby improving monitoring efficiency. The screened key monitoring objects and collaborative monitoring objects can more accurately reflect the electromagnetic environment characteristics of the local electromagnetic radiation area. For the synchronous radiation tendency state, the key monitoring object can represent the synchronous radiation situation of the entire local area; for the asynchronous radiation tendency state, several collaborative monitoring objects reflect the complex electromagnetic radiation situation in the local area from different frequency bands. Through the local division of electromagnetic radiation, signal synchronization analysis and differentiated screening of monitoring objects, the monitoring precision of the environmental electromagnetic intensity is improved.

[0064] Specifically, see Figure 4 As shown, it is a flow chart of selecting a monitoring method for environmental electromagnetic intensity according to an embodiment of the present invention. The process of selecting a monitoring method for environmental electromagnetic intensity includes: Determine the number of monitored objects in each electromagnetic radiation area and calculate the standard deviation of the number of monitored objects; According to the comparison result that the quantity standard deviation meets the synchronization judgment condition, determine the marking method of marking the impact heterogeneity period according to the load impact period marking of the key monitoring object in each electromagnetic radiation local area; According to the comparison result that the quantity standard deviation does not meet the synchronization judgment condition, determine the marking method of the load influence cycle marking affecting the heterogeneous cycle according to the key monitoring objects and the coordinated monitoring objects in each electromagnetic radiation local area; The synchronization determination condition is that the quantity standard deviation does not exceed a preset quantity standard deviation threshold.

[0065] Specifically, the quantity standard deviation threshold N in the present invention is 0 The preset number standard deviation threshold N can be determined in advance based on the average number N' of the number of devices in a number of electromagnetic radiation local areas. 0 =δ×N', δ is the quantity standard deviation threshold determination factor, and the value range of δ is [0.2, 0.5]. Preferably, the value of δ is 0.25.

[0066] It is understandable that if the standard deviation of the quantity exceeds the preset threshold, it indicates that there are significant differences in the number of monitoring objects within each electromagnetic radiation region. In this case, relying solely on the key monitoring objects cannot comprehensively capture the changes in electromagnetic radiation, and it is necessary to combine the collaborative monitoring objects for comprehensive monitoring.

[0067] Specifically, the process of marking the influence opposite-sex cycle includes: Pre-obtain the load influence cycles of the key monitoring objects in several electromagnetic radiation regions, as well as the load influence cycles of the collaborative monitoring objects in several electromagnetic radiation regions; In the method of marking the influence opposite-sex cycle according to the load influence cycle of the key monitoring objects, select the load influence cycle with the largest number of overlaps among several load influence cycles of the key monitoring objects and mark it as the influence opposite-sex cycle; In the method of marking the influence opposite-sex cycle according to the load influence cycles of the key monitoring objects and the collaborative monitoring objects, select the load influence cycles with the number of overlaps exceeding the preset quantity comparison reference value among several load influence cycles of the key monitoring objects and the collaborative monitoring objects and mark them as the influence opposite-sex cycles.

[0068] Specifically, the preset quantity comparison reference value of the present invention can be determined according to historical experimental data. Pre-statistics the average value of the number of overlaps of the load influence cycles in different key monitoring objects and collaborative monitoring objects, and round the average value of the number of overlaps to obtain the preset quantity comparison reference value. Preferably, a value of the quantity comparison reference value is provided here, and the quantity comparison reference value can be 3.

[0069] Exemplarily, if there are three electromagnetic radiation regions: Region A, Region B, and Region C; Obtain the start time corresponding to the load influence cycle: Region A: Only contains the key monitoring object A, and the start times of its load influence cycles are: 0:00, 3:00, 9:00, 15:30, 21:00.

[0070] Region B: Contains the collaborative monitoring objects B1, B2, and B3, and the start times of their load influence cycles are respectively: B1: 0:30, 3:00, 6:00, 9:00, 15:30 B2: 3:00, 9:00, 12:30, 15:30, 22:30 B3: 3:00, 6:30, 9:30, 18:30, 21:00 Region C: Only contains the key monitoring object C, and the start times of its load influence cycles are: 8:00, 10:00, 15:30, 16:00, 20:00.

[0071] In the method of marking the influencing opposite-sex cycle according to the load influence cycle of the key monitoring object, the start times of the load influence cycles of the key monitoring object A in local area A and the key monitoring object C in local area C are compared together; it can be seen that the number of overlapping load influence cycles corresponding to the start time of 15:30 is the largest, which is 2. Therefore, the load influence cycle corresponding to the start time of 15:30 is marked as the influencing opposite-sex cycle.

[0072] In the method of marking the influencing opposite-sex cycle according to the load influence cycles of the key monitoring object and the collaborative monitoring object, the start times of the load influence cycles of the key monitoring object A in local area A, the collaborative monitoring objects B1, B2, and B3 in local area B, and the key monitoring object C in local area C are compared together. It can be seen that the number of overlapping load influence cycles with the start time of 3:00 is 4, the number of overlapping load influence cycles with the start time of 9:00 is 3, the number of overlapping load influence cycles with the start time of 15:30 is 4, and the number of overlapping load influence cycles with the start time of 21:00 is 2; When the quantity comparison reference value is set to 3, the load influence cycles with the start times of 3:00 and 15:30 are selected as the influencing opposite-sex cycles.

[0073] Specifically, by calculating the standard deviation of the number of monitoring objects in each electromagnetic radiation local area, the present invention can determine a suitable monitoring method according to the actual situation of different local areas. When the quantity standard deviation does not exceed the threshold, it indicates that the number of monitoring objects in each local area is relatively balanced. At this time, choosing to mark the influencing opposite-sex cycle according to the load influence cycle of the key monitoring object can improve the efficiency; when the quantity standard deviation exceeds the threshold, it means that the number of monitoring objects in each local area varies greatly. Considering the load influence cycles of the key monitoring object and the collaborative monitoring object comprehensively to mark the influencing opposite-sex cycle can more comprehensively reflect the actual situation of each local area. Through electromagnetic radiation local area division, signal synchronization analysis, and differential screening of monitoring objects, the monitoring fineness of the environmental electromagnetic intensity is improved.

[0074] Please refer to Figure 5 As shown in the figure, it is a system block diagram of the dynamic monitoring system based on the power data of distributed devices according to the embodiment of the present invention. The present invention also provides a dynamic monitoring system based on the power data of distributed devices, including: An information extraction unit for determining the load influence cycle and the distribution position information of each device; A distinguishing unit connected to the information extraction unit for determining the electromagnetic radiation local area of each device and determining the signal radiation synchronization coefficient of the electromagnetic radiation local area, and judging the radiation state of the electromagnetic radiation local area according to the signal radiation synchronization coefficient; An electromagnetic monitoring unit, which is respectively connected to the information extraction unit and the discrimination unit, is used to determine the screening method of the monitoring object within the electromagnetic radiation area based on the radiation state, and select the monitoring method of the ambient electromagnetic intensity according to the quantity difference of the monitoring objects within each electromagnetic radiation area; A prompting unit, which is connected to the electromagnetic monitoring unit, is used to give an alarm prompt for a number of marked influence opposite-sex cycles.

[0075] Specifically, the present invention does not limit the information extraction unit, which includes a data memory storing the influence cycle of the storage load and the distribution position information of each device, and details are not described here.

[0076] Specifically, the present invention does not limit the discrimination unit, which can be composed of logic components by itself. The logic components can be field programmable logic components, microprocessors, processors used in computers, etc., and details are not described here.

[0077] Specifically, the present invention does not limit the electromagnetic monitoring unit, which can receive the electromagnetic field intensity detected by a Hall element, and select the monitoring method of the ambient electromagnetic intensity according to the received data and signals, and details are not described here.

[0078] Specifically, the present invention does not limit the prompting unit, which can be a display and a buzzer. The display is used to display the start time of the influence opposite-sex cycle, and the buzzer is used to emit a beep or play a prompt message. This is the prior art and details are not described here.

[0079] So far, the technical solution of the present invention has been described in combination with the preferred embodiments shown in the drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0080] The above are only the preferred embodiments of the present invention and are not used to limit the present invention; for those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A dynamic monitoring method based on distributed equipment power data, characterized in that: include: Predetermine the load impact cycle of each device in the environment during the historical operating period and the distribution location information of each device; Determine the electromagnetic radiation local area of ​​each device based on the distribution location information, and determine the signal radiation synchronization coefficient of the electromagnetic radiation local area according to the load influence period of several devices in the electromagnetic radiation local area to determine the radiation state of the electromagnetic radiation local area; Determine a screening method for monitoring objects in the electromagnetic radiation local area based on the radiation state, wherein the screening method is to screen a unique key monitoring object or screen several collaborative monitoring objects according to the comparison of electromagnetic signal strength of each device in several frequency bands; A monitoring method for environmental electromagnetic intensity is selected based on the difference in the number of monitored objects in each electromagnetic radiation local area, wherein the monitoring method is to affect the heterogeneous period according to the load influence period mark of the key monitored object in each electromagnetic radiation local area, or to affect the heterogeneous period according to the load influence period mark of the key monitored object and the collaborative monitored object in each electromagnetic radiation local area; Several marked cycles that affect the opposite sex will be alarmed.

2. The dynamic monitoring method based on distributed equipment power data according to claim 1 is characterized in that: Determine the load impact period of each device in the environment including: Obtain the load parameters corresponding to the start time and the end time of each device in the environment at a preset unit time period; Calculate the absolute value of the load difference between the load parameter corresponding to the start time and the load parameter corresponding to the end time; The unit time period during which the absolute value of the load difference exceeds a preset load threshold is determined as the load impact period of the equipment.

3. The dynamic monitoring method based on distributed equipment power data according to claim 2 is characterized in that: Determine the electromagnetic radiation area of ​​each device including: Obtain the distribution location information of each device; Determine the distance between each device and other devices, and determine the area formed by several devices whose distances meet the local construction condition as the electromagnetic radiation local area; The local construction condition is that the distance does not exceed a preset distance threshold.

4. The dynamic monitoring method based on distributed equipment power data according to claim 3 is characterized in that: The process of determining the signal radiation synchronization coefficient of the electromagnetic radiation local area includes: Obtaining the start time corresponding to a number of load influence cycles of each device in the electromagnetic radiation local area; Sort the start times of several load impact cycles of each device in time sequence and construct an electromagnetic impact time sequence set; Determine the number of moments that are the same as the electromagnetic influence timing set of the current device and the electromagnetic influence timing sets of other devices, calculate the average value of the ratios of several of the moment numbers to the total number of moments in the electromagnetic influence timing set of the current device, and determine the average value as the signal radiation synchronization coefficient.

5. The dynamic monitoring method based on distributed equipment power data according to claim 1 is characterized in that: Determining the radiation state of the local electromagnetic radiation region includes: According to the comparison result that the signal radiation synchronization coefficient meets the synchrotron radiation condition, determining that the radiation state of the electromagnetic radiation local area is a synchrotron radiation tendency state; According to the comparison result that the signal radiation synchronization coefficient does not meet the synchronous radiation condition, it is determined that the radiation state of the electromagnetic radiation local area is a non-synchronous radiation tendency state; The synchronous radiation condition is that the signal radiation synchronization coefficient exceeds a preset synchronization coefficient reference value.

6. The dynamic monitoring method based on distributed equipment power data according to claim 5 is characterized in that: Screening methods to determine monitoring targets include: If the radiation state of the electromagnetic radiation local area is a synchronous radiation tendency state, a unique key monitoring object is selected according to the comparison of the electromagnetic signal strength of each device in several frequency bands; If the radiation state of the local electromagnetic radiation area is an asynchronous radiation tendency state, a number of collaborative monitoring objects are selected according to the comparison of the electromagnetic signal strength of each device in a number of frequency bands.

7. The dynamic monitoring method based on distributed equipment power data according to claim 6 is characterized in that: The process of selecting a unique key monitoring object and selecting several coordinated monitoring objects includes: Obtaining electromagnetic signal strengths corresponding to several frequency values ​​of each device in each frequency band, and determining an average value of the electromagnetic signal strengths corresponding to each frequency value as the electromagnetic signal strength of the frequency band; Calculate the average electromagnetic signal strength of each device in several frequency bands, and select the device with the largest average electromagnetic signal strength as the only key monitoring object; The device corresponding to the maximum electromagnetic signal strength in the same frequency band is determined, and the devices corresponding to the maximum electromagnetic signal strength in each frequency band are screened as collaborative monitoring objects.

8. The dynamic monitoring method based on distributed equipment power data according to claim 7 is characterized in that: The process of selecting a monitoring method for environmental electromagnetic intensity includes: Determine the number of monitored objects in each electromagnetic radiation area and calculate the standard deviation of the number of monitored objects; According to the comparison result that the quantity standard deviation meets the synchronization judgment condition, determine the marking method of marking the impact heterogeneity period according to the load impact period marking of the key monitoring object in each electromagnetic radiation local area; According to the comparison result that the quantity standard deviation does not meet the synchronization judgment condition, determine the marking method of the load influence cycle marking affecting the heterogeneous cycle according to the key monitoring objects and the coordinated monitoring objects in each electromagnetic radiation local area; The synchronization determination condition is that the quantity standard deviation does not exceed a preset quantity standard deviation threshold.

9. The dynamic monitoring method based on distributed equipment power data according to claim 8 is characterized in that: The process of marking the opposite sex cycle includes: Pre-acquire the load impact cycles of key monitoring objects in several electromagnetic radiation local areas, and the load impact cycles of coordinated monitoring objects in several electromagnetic radiation local areas; In the method of marking the influence heterogeneity cycle according to the load influence cycle of the key monitoring object, the load influence cycle with the largest number of overlaps is selected from several load influence cycles of the key monitoring object and marked as the influence heterogeneity cycle; In the method of marking the influence heterogeneous cycle according to the load influence cycle of the key monitoring object and the collaborative monitoring object, the load influence cycle whose overlap number exceeds the preset number compared with the reference value among several load influence cycles of the key monitoring object and the collaborative monitoring object is marked as the said influence heterogeneous cycle.

10. A dynamic monitoring system based on distributed device power data, used to execute the dynamic monitoring method based on distributed device power data according to any one of claims 1 to 9, characterized in that: include: An information extraction unit, used to determine the load impact period and the distribution location information of each device; a distinguishing unit connected to the information extracting unit, for determining the electromagnetic radiation local area of ​​each device and the signal radiation synchronization coefficient of the electromagnetic radiation local area, and determining the radiation state of the electromagnetic radiation local area according to the signal radiation synchronization coefficient; An electromagnetic monitoring unit, which is connected to the information extraction unit and the differentiation unit respectively, and is used to determine a screening method for monitoring objects in the electromagnetic radiation local area based on the radiation state, and select a monitoring method for environmental electromagnetic intensity according to the difference in the number of monitoring objects in each electromagnetic radiation local area; The prompting unit is connected to the electromagnetic monitoring unit and is used to give an alarm prompt for several anisotropic periods of the mark.

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